Prediction of Smartphone Addiction Among Korean Adolescents Based on Physical Activity and Mental Health: A Machine Learning Analysis Using LASSO and SHAP From the Korea Youth Risk Behavior Survey
- DOI
- 10.31083/ap46201
- Published
- 2026-02-26
- Container
- Alpha Psychiatry
- Publisher
- IMR Press
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.31083/ap46201,
title = {Prediction of Smartphone Addiction Among Korean Adolescents Based on Physical Activity and Mental Health: A Machine Learning Analysis Using LASSO and SHAP From the Korea Youth Risk Behavior Survey},
author = {Kihyuk Lee and Wooin Seo and Se Young Jung},
year = {2026},
journal = {Alpha Psychiatry},
doi = {10.31083/ap46201},
url = {https://doi.org/10.31083/ap46201}
}RIS
TY - JOUR TI - Prediction of Smartphone Addiction Among Korean Adolescents Based on Physical Activity and Mental Health: A Machine Learning Analysis Using LASSO and SHAP From the Korea Youth Risk Behavior Survey AU - Kihyuk Lee AU - Wooin Seo AU - Se Young Jung PY - 2026 JO - Alpha Psychiatry DO - 10.31083/ap46201 UR - https://doi.org/10.31083/ap46201 ER -
APA
Lee, K., Seo, W., & Jung, S. Y. (2026). Prediction of Smartphone Addiction Among Korean Adolescents Based on Physical Activity and Mental Health: A Machine Learning Analysis Using LASSO and SHAP From the Korea Youth Risk Behavior Survey. Alpha Psychiatry. https://doi.org/10.31083/ap46201
Source records
- crossref · retrieved 2026-11-11T01:13:07.971Z